Author

Cunxiang Wang

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#natural language process... Preprint Sep 2026

MTAC-IFBench: Benchmarking Instruction-Following in Multi-Turn Agentic Coding

Recently, the rapid development of large language models (LLMs) has reshaped software engineering by enabling autonomous code agents that plan, execute, and utilize external tools iteratively to tackle complex tasks. Beyond achieving functional correctness, these agents must faithfully follow process instructions and c...

Bo-Si Wen, Cunxiang Wang, Jia-Yi Gui et al. · 0 citations

#natural language process... Preprint Sep 2026

From Base Rollouts to RL Reasoning: A Budgeted Search Perspective

Results support a qualified internalized-search reading: under the recipe the authors test, much of the measured RL gain corresponds to a change in sampling efficiency toward operating points the base model can already reach under search.

Wen-He Sun, Cun-Xiang Wang, Zi-Jun Yao et al. · 0 citations